Thermo Fisher Scientific's Clinical Research Group (CRG) is looking to accelerate its digital transformation into the most digitally enabled CRO by leveraging AI and digital capabilities to improve operational efficiency, enhance customer experience, unlock insights from data, and enable next-generation clinical innovation.
Requirements
- Proficiency in modern SQL, Python, Spark, and associated AI/ML packages.
- Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices.
- Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior.
- Experience with cloud architecture, distributed computing, and modern ML platforms.
- Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment).
- Proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI.
- Proven experience with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques.
Responsibilities
- Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support.
- Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems.
- Evaluate and optimize model performance using appropriate validation metrics and techniques.
- Build reusable model pipelines, APIs, and components for scalable AI product deployment.
- Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources.
- Build and maintain ETL/data workflows that support ML and generative AI workloads.
- Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability.
Other
- Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years).
- Ability to manage multiple priorities in a matrixed environment.
- Excellent analytical thinking, problem-solving, and communication skills.
- Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams.
- Must be legally authorized to work in the United States without sponsorship.
